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/*
 * Copyright 2013 The Netty Project
 *
 * The Netty Project licenses this file to you under the Apache License,
 * version 2.0 (the "License"); you may not use this file except in compliance
 * with the License. You may obtain a copy of the License at:
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
 * License for the specific language governing permissions and limitations
 * under the License.
 */

/*
 * Written by Doug Lea with assistance from members of JCP JSR-166
 * Expert Group and released to the public domain, as explained at
 * http://creativecommons.org/publicdomain/zero/1.0/
 */

package com.ning.http.client.providers.netty.chmv8;

import java.util.concurrent.RecursiveAction;

/**
 * A {@link ForkJoinTask} with a completion action performed when
 * triggered and there are no remaining pending actions.
 * CountedCompleters are in general more robust in the
 * presence of subtask stalls and blockage than are other forms of
 * ForkJoinTasks, but are less intuitive to program.  Uses of
 * CountedCompleter are similar to those of other completion based
 * components (such as {@link java.nio.channels.CompletionHandler})
 * except that multiple pending completions may be necessary
 * to trigger the completion action {@link #onCompletion(CountedCompleter)},
 * not just one.
 * Unless initialized otherwise, the {@linkplain #getPendingCount pending
 * count} starts at zero, but may be (atomically) changed using
 * methods {@link #setPendingCount}, {@link #addToPendingCount}, and
 * {@link #compareAndSetPendingCount}. Upon invocation of {@link
 * #tryComplete}, if the pending action count is nonzero, it is
 * decremented; otherwise, the completion action is performed, and if
 * this completer itself has a completer, the process is continued
 * with its completer.  As is the case with related synchronization
 * components such as {@link java.util.concurrent.Phaser Phaser} and
 * {@link java.util.concurrent.Semaphore Semaphore}, these methods
 * affect only internal counts; they do not establish any further
 * internal bookkeeping. In particular, the identities of pending
 * tasks are not maintained. As illustrated below, you can create
 * subclasses that do record some or all pending tasks or their
 * results when needed.  As illustrated below, utility methods
 * supporting customization of completion traversals are also
 * provided. However, because CountedCompleters provide only basic
 * synchronization mechanisms, it may be useful to create further
 * abstract subclasses that maintain linkages, fields, and additional
 * support methods appropriate for a set of related usages.
 *
 * 

A concrete CountedCompleter class must define method {@link * #compute}, that should in most cases (as illustrated below), invoke * {@code tryComplete()} once before returning. The class may also * optionally override method {@link #onCompletion(CountedCompleter)} * to perform an action upon normal completion, and method * {@link #onExceptionalCompletion(Throwable, CountedCompleter)} to * perform an action upon any exception. * *

CountedCompleters most often do not bear results, in which case * they are normally declared as {@code CountedCompleter}, and * will always return {@code null} as a result value. In other cases, * you should override method {@link #getRawResult} to provide a * result from {@code join(), invoke()}, and related methods. In * general, this method should return the value of a field (or a * function of one or more fields) of the CountedCompleter object that * holds the result upon completion. Method {@link #setRawResult} by * default plays no role in CountedCompleters. It is possible, but * rarely applicable, to override this method to maintain other * objects or fields holding result data. * *

A CountedCompleter that does not itself have a completer (i.e., * one for which {@link #getCompleter} returns {@code null}) can be * used as a regular ForkJoinTask with this added functionality. * However, any completer that in turn has another completer serves * only as an internal helper for other computations, so its own task * status (as reported in methods such as {@link ForkJoinTask#isDone}) * is arbitrary; this status changes only upon explicit invocations of * {@link #complete}, {@link ForkJoinTask#cancel}, * {@link ForkJoinTask#completeExceptionally(Throwable)} or upon * exceptional completion of method {@code compute}. Upon any * exceptional completion, the exception may be relayed to a task's * completer (and its completer, and so on), if one exists and it has * not otherwise already completed. Similarly, cancelling an internal * CountedCompleter has only a local effect on that completer, so is * not often useful. * *

Sample Usages. * *

Parallel recursive decomposition. CountedCompleters may * be arranged in trees similar to those often used with {@link * RecursiveAction}s, although the constructions involved in setting * them up typically vary. Here, the completer of each task is its * parent in the computation tree. Even though they entail a bit more * bookkeeping, CountedCompleters may be better choices when applying * a possibly time-consuming operation (that cannot be further * subdivided) to each element of an array or collection; especially * when the operation takes a significantly different amount of time * to complete for some elements than others, either because of * intrinsic variation (for example I/O) or auxiliary effects such as * garbage collection. Because CountedCompleters provide their own * continuations, other threads need not block waiting to perform * them. * *

For example, here is an initial version of a class that uses * divide-by-two recursive decomposition to divide work into single * pieces (leaf tasks). Even when work is split into individual calls, * tree-based techniques are usually preferable to directly forking * leaf tasks, because they reduce inter-thread communication and * improve load balancing. In the recursive case, the second of each * pair of subtasks to finish triggers completion of its parent * (because no result combination is performed, the default no-op * implementation of method {@code onCompletion} is not overridden). * A static utility method sets up the base task and invokes it * (here, implicitly using the {@link ForkJoinPool#commonPool()}). * *

 {@code
 * class MyOperation { void apply(E e) { ... }  }
 *
 * class ForEach extends CountedCompleter {
 *
 *   public static  void forEach(E[] array, MyOperation op) {
 *     new ForEach(null, array, op, 0, array.length).invoke();
 *   }
 *
 *   final E[] array; final MyOperation op; final int lo, hi;
 *   ForEach(CountedCompleter p, E[] array, MyOperation op, int lo, int hi) {
 *     super(p);
 *     this.array = array; this.op = op; this.lo = lo; this.hi = hi;
 *   }
 *
 *   public void compute() { // version 1
 *     if (hi - lo >= 2) {
 *       int mid = (lo + hi) >>> 1;
 *       setPendingCount(2); // must set pending count before fork
 *       new ForEach(this, array, op, mid, hi).fork(); // right child
 *       new ForEach(this, array, op, lo, mid).fork(); // left child
 *     }
 *     else if (hi > lo)
 *       op.apply(array[lo]);
 *     tryComplete();
 *   }
 * }}
* * This design can be improved by noticing that in the recursive case, * the task has nothing to do after forking its right task, so can * directly invoke its left task before returning. (This is an analog * of tail recursion removal.) Also, because the task returns upon * executing its left task (rather than falling through to invoke * {@code tryComplete}) the pending count is set to one: * *
 {@code
 * class ForEach ...
 *   public void compute() { // version 2
 *     if (hi - lo >= 2) {
 *       int mid = (lo + hi) >>> 1;
 *       setPendingCount(1); // only one pending
 *       new ForEach(this, array, op, mid, hi).fork(); // right child
 *       new ForEach(this, array, op, lo, mid).compute(); // direct invoke
 *     }
 *     else {
 *       if (hi > lo)
 *         op.apply(array[lo]);
 *       tryComplete();
 *     }
 *   }
 * }
* * As a further improvement, notice that the left task need not even exist. * Instead of creating a new one, we can iterate using the original task, * and add a pending count for each fork. Additionally, because no task * in this tree implements an {@link #onCompletion(CountedCompleter)} method, * {@code tryComplete()} can be replaced with {@link #propagateCompletion}. * *
 {@code
 * class ForEach ...
 *   public void compute() { // version 3
 *     int l = lo,  h = hi;
 *     while (h - l >= 2) {
 *       int mid = (l + h) >>> 1;
 *       addToPendingCount(1);
 *       new ForEach(this, array, op, mid, h).fork(); // right child
 *       h = mid;
 *     }
 *     if (h > l)
 *       op.apply(array[l]);
 *     propagateCompletion();
 *   }
 * }
* * Additional improvements of such classes might entail precomputing * pending counts so that they can be established in constructors, * specializing classes for leaf steps, subdividing by say, four, * instead of two per iteration, and using an adaptive threshold * instead of always subdividing down to single elements. * *

Searching. A tree of CountedCompleters can search for a * value or property in different parts of a data structure, and * report a result in an {@link * java.util.concurrent.atomic.AtomicReference AtomicReference} as * soon as one is found. The others can poll the result to avoid * unnecessary work. (You could additionally {@linkplain #cancel * cancel} other tasks, but it is usually simpler and more efficient * to just let them notice that the result is set and if so skip * further processing.) Illustrating again with an array using full * partitioning (again, in practice, leaf tasks will almost always * process more than one element): * *

 {@code
 * class Searcher extends CountedCompleter {
 *   final E[] array; final AtomicReference result; final int lo, hi;
 *   Searcher(CountedCompleter p, E[] array, AtomicReference result, int lo, int hi) {
 *     super(p);
 *     this.array = array; this.result = result; this.lo = lo; this.hi = hi;
 *   }
 *   public E getRawResult() { return result.get(); }
 *   public void compute() { // similar to ForEach version 3
 *     int l = lo,  h = hi;
 *     while (result.get() == null && h >= l) {
 *       if (h - l >= 2) {
 *         int mid = (l + h) >>> 1;
 *         addToPendingCount(1);
 *         new Searcher(this, array, result, mid, h).fork();
 *         h = mid;
 *       }
 *       else {
 *         E x = array[l];
 *         if (matches(x) && result.compareAndSet(null, x))
 *           quietlyCompleteRoot(); // root task is now joinable
 *         break;
 *       }
 *     }
 *     tryComplete(); // normally complete whether or not found
 *   }
 *   boolean matches(E e) { ... } // return true if found
 *
 *   public static  E search(E[] array) {
 *       return new Searcher(null, array, new AtomicReference(), 0, array.length).invoke();
 *   }
 * }}
* * In this example, as well as others in which tasks have no other * effects except to compareAndSet a common result, the trailing * unconditional invocation of {@code tryComplete} could be made * conditional ({@code if (result.get() == null) tryComplete();}) * because no further bookkeeping is required to manage completions * once the root task completes. * *

Recording subtasks. CountedCompleter tasks that combine * results of multiple subtasks usually need to access these results * in method {@link #onCompletion(CountedCompleter)}. As illustrated in the following * class (that performs a simplified form of map-reduce where mappings * and reductions are all of type {@code E}), one way to do this in * divide and conquer designs is to have each subtask record its * sibling, so that it can be accessed in method {@code onCompletion}. * This technique applies to reductions in which the order of * combining left and right results does not matter; ordered * reductions require explicit left/right designations. Variants of * other streamlinings seen in the above examples may also apply. * *

 {@code
 * class MyMapper { E apply(E v) {  ...  } }
 * class MyReducer { E apply(E x, E y) {  ...  } }
 * class MapReducer extends CountedCompleter {
 *   final E[] array; final MyMapper mapper;
 *   final MyReducer reducer; final int lo, hi;
 *   MapReducer sibling;
 *   E result;
 *   MapReducer(CountedCompleter p, E[] array, MyMapper mapper,
 *              MyReducer reducer, int lo, int hi) {
 *     super(p);
 *     this.array = array; this.mapper = mapper;
 *     this.reducer = reducer; this.lo = lo; this.hi = hi;
 *   }
 *   public void compute() {
 *     if (hi - lo >= 2) {
 *       int mid = (lo + hi) >>> 1;
 *       MapReducer left = new MapReducer(this, array, mapper, reducer, lo, mid);
 *       MapReducer right = new MapReducer(this, array, mapper, reducer, mid, hi);
 *       left.sibling = right;
 *       right.sibling = left;
 *       setPendingCount(1); // only right is pending
 *       right.fork();
 *       left.compute();     // directly execute left
 *     }
 *     else {
 *       if (hi > lo)
 *           result = mapper.apply(array[lo]);
 *       tryComplete();
 *     }
 *   }
 *   public void onCompletion(CountedCompleter caller) {
 *     if (caller != this) {
 *       MapReducer child = (MapReducer)caller;
 *       MapReducer sib = child.sibling;
 *       if (sib == null || sib.result == null)
 *         result = child.result;
 *       else
 *         result = reducer.apply(child.result, sib.result);
 *     }
 *   }
 *   public E getRawResult() { return result; }
 *
 *   public static  E mapReduce(E[] array, MyMapper mapper, MyReducer reducer) {
 *     return new MapReducer(null, array, mapper, reducer,
 *                              0, array.length).invoke();
 *   }
 * }}
* * Here, method {@code onCompletion} takes a form common to many * completion designs that combine results. This callback-style method * is triggered once per task, in either of the two different contexts * in which the pending count is, or becomes, zero: (1) by a task * itself, if its pending count is zero upon invocation of {@code * tryComplete}, or (2) by any of its subtasks when they complete and * decrement the pending count to zero. The {@code caller} argument * distinguishes cases. Most often, when the caller is {@code this}, * no action is necessary. Otherwise the caller argument can be used * (usually via a cast) to supply a value (and/or links to other * values) to be combined. Assuming proper use of pending counts, the * actions inside {@code onCompletion} occur (once) upon completion of * a task and its subtasks. No additional synchronization is required * within this method to ensure thread safety of accesses to fields of * this task or other completed tasks. * *

Completion Traversals. If using {@code onCompletion} to * process completions is inapplicable or inconvenient, you can use * methods {@link #firstComplete} and {@link #nextComplete} to create * custom traversals. For example, to define a MapReducer that only * splits out right-hand tasks in the form of the third ForEach * example, the completions must cooperatively reduce along * unexhausted subtask links, which can be done as follows: * *

 {@code
 * class MapReducer extends CountedCompleter { // version 2
 *   final E[] array; final MyMapper mapper;
 *   final MyReducer reducer; final int lo, hi;
 *   MapReducer forks, next; // record subtask forks in list
 *   E result;
 *   MapReducer(CountedCompleter p, E[] array, MyMapper mapper,
 *              MyReducer reducer, int lo, int hi, MapReducer next) {
 *     super(p);
 *     this.array = array; this.mapper = mapper;
 *     this.reducer = reducer; this.lo = lo; this.hi = hi;
 *     this.next = next;
 *   }
 *   public void compute() {
 *     int l = lo,  h = hi;
 *     while (h - l >= 2) {
 *       int mid = (l + h) >>> 1;
 *       addToPendingCount(1);
 *       (forks = new MapReducer(this, array, mapper, reducer, mid, h, forks)).fork();
 *       h = mid;
 *     }
 *     if (h > l)
 *       result = mapper.apply(array[l]);
 *     // process completions by reducing along and advancing subtask links
 *     for (CountedCompleter c = firstComplete(); c != null; c = c.nextComplete()) {
 *       for (MapReducer t = (MapReducer)c, s = t.forks;  s != null; s = t.forks = s.next)
 *         t.result = reducer.apply(t.result, s.result);
 *     }
 *   }
 *   public E getRawResult() { return result; }
 *
 *   public static  E mapReduce(E[] array, MyMapper mapper, MyReducer reducer) {
 *     return new MapReducer(null, array, mapper, reducer,
 *                              0, array.length, null).invoke();
 *   }
 * }}
* *

Triggers. Some CountedCompleters are themselves never * forked, but instead serve as bits of plumbing in other designs; * including those in which the completion of one or more async tasks * triggers another async task. For example: * *

 {@code
 * class HeaderBuilder extends CountedCompleter<...> { ... }
 * class BodyBuilder extends CountedCompleter<...> { ... }
 * class PacketSender extends CountedCompleter<...> {
 *   PacketSender(...) { super(null, 1); ... } // trigger on second completion
 *   public void compute() { } // never called
 *   public void onCompletion(CountedCompleter caller) { sendPacket(); }
 * }
 * // sample use:
 * PacketSender p = new PacketSender();
 * new HeaderBuilder(p, ...).fork();
 * new BodyBuilder(p, ...).fork();
 * }
* * @since 1.8 * @author Doug Lea */ @SuppressWarnings("all") public abstract class CountedCompleter extends ForkJoinTask { private static final long serialVersionUID = 5232453752276485070L; /** This task's completer, or null if none */ final CountedCompleter completer; /** The number of pending tasks until completion */ volatile int pending; /** * Creates a new CountedCompleter with the given completer * and initial pending count. * * @param completer this task's completer, or {@code null} if none * @param initialPendingCount the initial pending count */ protected CountedCompleter(CountedCompleter completer, int initialPendingCount) { this.completer = completer; this.pending = initialPendingCount; } /** * Creates a new CountedCompleter with the given completer * and an initial pending count of zero. * * @param completer this task's completer, or {@code null} if none */ protected CountedCompleter(CountedCompleter completer) { this.completer = completer; } /** * Creates a new CountedCompleter with no completer * and an initial pending count of zero. */ protected CountedCompleter() { this.completer = null; } /** * The main computation performed by this task. */ public abstract void compute(); /** * Performs an action when method {@link #tryComplete} is invoked * and the pending count is zero, or when the unconditional * method {@link #complete} is invoked. By default, this method * does nothing. You can distinguish cases by checking the * identity of the given caller argument. If not equal to {@code * this}, then it is typically a subtask that may contain results * (and/or links to other results) to combine. * * @param caller the task invoking this method (which may * be this task itself) */ public void onCompletion(CountedCompleter caller) { } /** * Performs an action when method {@link * #completeExceptionally(Throwable)} is invoked or method {@link * #compute} throws an exception, and this task has not already * otherwise completed normally. On entry to this method, this task * {@link ForkJoinTask#isCompletedAbnormally}. The return value * of this method controls further propagation: If {@code true} * and this task has a completer that has not completed, then that * completer is also completed exceptionally, with the same * exception as this completer. The default implementation of * this method does nothing except return {@code true}. * * @param ex the exception * @param caller the task invoking this method (which may * be this task itself) * @return {@code true} if this exception should be propagated to this * task's completer, if one exists */ public boolean onExceptionalCompletion(Throwable ex, CountedCompleter caller) { return true; } /** * Returns the completer established in this task's constructor, * or {@code null} if none. * * @return the completer */ public final CountedCompleter getCompleter() { return completer; } /** * Returns the current pending count. * * @return the current pending count */ public final int getPendingCount() { return pending; } /** * Sets the pending count to the given value. * * @param count the count */ public final void setPendingCount(int count) { pending = count; } /** * Adds (atomically) the given value to the pending count. * * @param delta the value to add */ public final void addToPendingCount(int delta) { int c; do {} while (!U.compareAndSwapInt(this, PENDING, c = pending, c+delta)); } /** * Sets (atomically) the pending count to the given count only if * it currently holds the given expected value. * * @param expected the expected value * @param count the new value * @return {@code true} if successful */ public final boolean compareAndSetPendingCount(int expected, int count) { return U.compareAndSwapInt(this, PENDING, expected, count); } /** * If the pending count is nonzero, (atomically) decrements it. * * @return the initial (undecremented) pending count holding on entry * to this method */ public final int decrementPendingCountUnlessZero() { int c; do {} while ((c = pending) != 0 && !U.compareAndSwapInt(this, PENDING, c, c - 1)); return c; } /** * Returns the root of the current computation; i.e., this * task if it has no completer, else its completer's root. * * @return the root of the current computation */ public final CountedCompleter getRoot() { CountedCompleter a = this, p; while ((p = a.completer) != null) a = p; return a; } /** * If the pending count is nonzero, decrements the count; * otherwise invokes {@link #onCompletion(CountedCompleter)} * and then similarly tries to complete this task's completer, * if one exists, else marks this task as complete. */ public final void tryComplete() { CountedCompleter a = this, s = a; for (int c;;) { if ((c = a.pending) == 0) { a.onCompletion(s); if ((a = (s = a).completer) == null) { s.quietlyComplete(); return; } } else if (U.compareAndSwapInt(a, PENDING, c, c - 1)) return; } } /** * Equivalent to {@link #tryComplete} but does not invoke {@link * #onCompletion(CountedCompleter)} along the completion path: * If the pending count is nonzero, decrements the count; * otherwise, similarly tries to complete this task's completer, if * one exists, else marks this task as complete. This method may be * useful in cases where {@code onCompletion} should not, or need * not, be invoked for each completer in a computation. */ public final void propagateCompletion() { CountedCompleter a = this, s = a; for (int c;;) { if ((c = a.pending) == 0) { if ((a = (s = a).completer) == null) { s.quietlyComplete(); return; } } else if (U.compareAndSwapInt(a, PENDING, c, c - 1)) return; } } /** * Regardless of pending count, invokes * {@link #onCompletion(CountedCompleter)}, marks this task as * complete and further triggers {@link #tryComplete} on this * task's completer, if one exists. The given rawResult is * used as an argument to {@link #setRawResult} before invoking * {@link #onCompletion(CountedCompleter)} or marking this task * as complete; its value is meaningful only for classes * overriding {@code setRawResult}. This method does not modify * the pending count. * *

This method may be useful when forcing completion as soon as * any one (versus all) of several subtask results are obtained. * However, in the common (and recommended) case in which {@code * setRawResult} is not overridden, this effect can be obtained * more simply using {@code quietlyCompleteRoot();}. * * @param rawResult the raw result */ public void complete(T rawResult) { CountedCompleter p; setRawResult(rawResult); onCompletion(this); quietlyComplete(); if ((p = completer) != null) p.tryComplete(); } /** * If this task's pending count is zero, returns this task; * otherwise decrements its pending count and returns {@code * null}. This method is designed to be used with {@link * #nextComplete} in completion traversal loops. * * @return this task, if pending count was zero, else {@code null} */ public final CountedCompleter firstComplete() { for (int c;;) { if ((c = pending) == 0) return this; else if (U.compareAndSwapInt(this, PENDING, c, c - 1)) return null; } } /** * If this task does not have a completer, invokes {@link * ForkJoinTask#quietlyComplete} and returns {@code null}. Or, if * the completer's pending count is non-zero, decrements that * pending count and returns {@code null}. Otherwise, returns the * completer. This method can be used as part of a completion * traversal loop for homogeneous task hierarchies: * *

 {@code
     * for (CountedCompleter c = firstComplete();
     *      c != null;
     *      c = c.nextComplete()) {
     *   // ... process c ...
     * }}
* * @return the completer, or {@code null} if none */ public final CountedCompleter nextComplete() { CountedCompleter p; if ((p = completer) != null) return p.firstComplete(); else { quietlyComplete(); return null; } } /** * Equivalent to {@code getRoot().quietlyComplete()}. */ public final void quietlyCompleteRoot() { for (CountedCompleter a = this, p;;) { if ((p = a.completer) == null) { a.quietlyComplete(); return; } a = p; } } /** * Supports ForkJoinTask exception propagation. */ void internalPropagateException(Throwable ex) { CountedCompleter a = this, s = a; while (a.onExceptionalCompletion(ex, s) && (a = (s = a).completer) != null && a.status >= 0 && a.recordExceptionalCompletion(ex) == EXCEPTIONAL) ; } /** * Implements execution conventions for CountedCompleters. */ protected final boolean exec() { compute(); return false; } /** * Returns the result of the computation. By default * returns {@code null}, which is appropriate for {@code Void} * actions, but in other cases should be overridden, almost * always to return a field or function of a field that * holds the result upon completion. * * @return the result of the computation */ public T getRawResult() { return null; } /** * A method that result-bearing CountedCompleters may optionally * use to help maintain result data. By default, does nothing. * Overrides are not recommended. However, if this method is * overridden to update existing objects or fields, then it must * in general be defined to be thread-safe. */ protected void setRawResult(T t) { } // Unsafe mechanics private static final sun.misc.Unsafe U; private static final long PENDING; static { try { U = getUnsafe(); PENDING = U.objectFieldOffset (CountedCompleter.class.getDeclaredField("pending")); } catch (Exception e) { throw new Error(e); } } /** * Returns a sun.misc.Unsafe. Suitable for use in a 3rd party package. * Replace with a simple call to Unsafe.getUnsafe when integrating * into a jdk. * * @return a sun.misc.Unsafe */ private static sun.misc.Unsafe getUnsafe() { try { return sun.misc.Unsafe.getUnsafe(); } catch (SecurityException tryReflectionInstead) {} try { return java.security.AccessController.doPrivileged (new java.security.PrivilegedExceptionAction() { public sun.misc.Unsafe run() throws Exception { Class k = sun.misc.Unsafe.class; for (java.lang.reflect.Field f : k.getDeclaredFields()) { f.setAccessible(true); Object x = f.get(null); if (k.isInstance(x)) return k.cast(x); } throw new NoSuchFieldError("the Unsafe"); }}); } catch (java.security.PrivilegedActionException e) { throw new RuntimeException("Could not initialize intrinsics", e.getCause()); } } }




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